Data That Delivers Automated Data Engineering & Analytics
Автор: Improving
Загружено: 2025-11-03
Просмотров: 28
In this session, we’ll explore how to wire AI features to real business impact—automating data ingestion, transformation, and analytics to deliver insights that matter. Learn how AI-assisted pipeline authoring and governance patterns (e.g., in Databricks or equivalent platforms) can produce reliable, cost-aware analytics. We’ll demonstrate how these pipelines culminate in KPI-driven dashboards that inform strategic roadmaps and set the stage for future ML and agent-based innovation.
Who Should Attend:
CIOs/CTOs: Discover how to make AI investments auditable and outcome-visible by tying features directly to KPIs.
Engineering Leaders: Learn to build governed, observable pipelines that scale efficiently and cost-effectively.
Individual Contributors: Get hands-on recipes for medallion-style flows, permissioning, and automated quality checks.
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